[ https://issues.apache.org/jira/browse/HDFS-9902?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Arpit Agarwal updated HDFS-9902: -------------------------------- Release Note: Reserved space can be configured independently for different storage types for clusters with heterogeneous storage. The 'dfs.datanode.du.reserved' property name can be suffixed with a storage types (i.e. one of ssd, disk, archival or ram_disk). e.g. reserved space for RAM_DISK storage can be configured using the property 'dfs.datanode.du.reserved.ram_disk'. If specific storage type reservation is not configured then the value specified by 'dfs.datanode.du.reserved' will be used for all volumes. > Support different values of dfs.datanode.du.reserved per storage type > --------------------------------------------------------------------- > > Key: HDFS-9902 > URL: https://issues.apache.org/jira/browse/HDFS-9902 > Project: Hadoop HDFS > Issue Type: Improvement > Components: datanode > Affects Versions: 2.7.2 > Reporter: Pan Yuxuan > Assignee: Brahma Reddy Battula > Fix For: 2.8.0 > > Attachments: HDFS-9902-02.patch, HDFS-9902-03.patch, > HDFS-9902-04.patch, HDFS-9902-05.patch, HDFS-9902.patch > > > Now Hadoop support different storage type for DISK, SSD, ARCHIVE and > RAM_DISK, but they share one configuration dfs.datanode.du.reserved. > The DISK size may be several TB and the RAM_DISK size may be only several > tens of GB. > The problem is that when I configure DISK and RAM_DISK (tmpfs) in the same > DN, and I set dfs.datanode.du.reserved values 10GB, this will waste a lot of > RAM_DISK size. > Since the usage of RAM_DISK can be 100%, so I don't want > dfs.datanode.du.reserved configured for DISK impacts the usage of tmpfs. > So can we make a new configuration for RAM_DISK or just skip this > configuration for RAM_DISK? -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org